Statistical Closed-Loop Linearization Technique for Evaluating the Response of Automatic Control Sysmtems Containing Nonlinear Elements with Memory

Study a class of automatic control system and use translational plane method, according to a given system robustness requirements, the closed-loop poles of the system is limited to a certain area, making the system not only meet the robustness of the system requirements, but also make closed-loop poles in a certain area, and find the desired controller. Through simulation studies proved the feasibility and effectiveness of the above algorithm.

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The Study of Hydraulic Valve Position Control Based on PLC Controller

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.651-653.928 ◽

2014 ◽

Vol 651-653 ◽

pp. 928-931

Author(s):

Chun You Zhang ◽

Cong Rui Wang

Keyword(s):

Control System ◽

Automatic Control ◽

Closed Loop ◽

Position Control ◽

Angular Displacement ◽

Hydraulic Drive ◽

Displacement Sensor ◽

Prototype Model ◽

Valve Position ◽

Hydraulic Valve

With the growing shortage of water today, in order to control the flow of pipe conveyance, it is essential for further study of automatic control valves, especially the automatic control technology of control valve. In this paper, by using programmable control and signal transmission technologies etc. a prototype model of hydraulic valve position control is constructed. Prototype model is designed as the closed-loop of position control system, by using high-precision angular displacement sensor detecting the position of the valve plate, converting the output signal of sensor into an industrial process signal 4-20mA with the low-drift transmitter chip XTR101, and with modular PLC as system control center, using three-phase inverter controlling the steering and speed of motor and cooperating with closed pump control system for hydraulic drive, it achieves the closed-loop control hydraulic valve position. This paper provides some technical support for the better use of water resources.

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Automatic Vessel Control in Stormy Conditions

Modeling, Control and Information Technologies ◽

10.31713/mcit.2021.21 ◽

2021 ◽

pp. 68-71

Author(s):

Vadym Mateichyk

Keyword(s):

Automatic Control ◽

Working Conditions ◽

Closed Loop ◽

Human Factor ◽

Practical Experience ◽

Automatic Calculation ◽

Imitation Modeling ◽

Efficiency And Effectiveness ◽

Made In

Vessel control in a storm is the most difficult stage in the vessel voyage, as it requires quick decisions to be made in difficult conditions. Practical experience shows that the deterioration of the working conditions of the crew is usually associated with increase in the number of control mistakes [1]. The article examines the possibility of automatic control of a vessel in a stormy conditions by automatic calculation in the on-board controller of the vessel optimal safe speed and course during a storm. This allowed to significantly increase the accuracy of calculations, to exclude the human factor, to reduce the depletion of the crew, to increase the reliability of the vessel control in a storm. The efficiency and effectiveness of the method, algorithmic and software were tested on Imitation Modeling Stand in a closed loop with mathematical vessel models of the navigation simulator Navi Trainer 5000.

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Risk-Averse Facility Location for Green Closed-Loop Supply Chain Networks Design under Uncertainty

Sustainability ◽

10.3390/su10114072 ◽

2018 ◽

Vol 10 (11) ◽

pp. 4072 ◽

Cited By ~ 4

Author(s):

Xiao Zhao ◽

Xuhui Xia ◽

Lei Wang ◽

Guodong Yu

Keyword(s):

Supply Chain ◽

Facility Location ◽

Co2 Emissions ◽

Closed Loop ◽

Emission Rate ◽

Uncertain Demand ◽

Risk Averse ◽

Closed Loop Supply Chain ◽

Linearization Technique ◽

Reformulation Linearization

With the increasing attention given to environmentalism, designing a green closed-loop supply chain network has been recognized as an important issue. In this paper, we consider the facility location problem, in order to reduce the total costs and CO2 emissions under an uncertain demand and emission rate. Particularly, we are more interested in the risk-averse method for providing more reliable solutions. To do this, we employ a coherent risk measure, conditional value-at-risk, to represent the underlying risk of uncertain demand and CO2 emission rate. The resulting optimization problem is a 0-1 mixed integer bi-objective programming, which is challenging to solve. We develop an improved reformulation-linearization technique, based on decomposed piecewise McCormick envelopes, to generate lower bounds efficiently. We show that the proposed risk-averse model can generate a more reliable solution than the risk-neutral model, both in reducing penalty costs and CO2 emissions. Moreover, the proposed algorithm outperforms and classic reformulation-linearization technique in convergence rate and gaps. Numerical experiments based on random data and a ‘real’ case are performed to demonstrate the performance of the proposed model and algorithm.

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Artificial intelligence for closed-loop ventilation therapy with hemodynamic control using the open lung concept

International Journal of Intelligent Computing and Cybernetics ◽

10.1108/ijicc-05-2014-0025 ◽

2015 ◽

Vol 8 (1) ◽

pp. 50-68 ◽

Cited By ~ 10

Author(s):

Anake Pomprapa ◽

Danita Muanghong ◽

Marcus Köny ◽

Steffen Leonhardt ◽

Philipp Pickerodt ◽

...

Keyword(s):

Artificial Intelligence ◽

Mechanical Ventilation ◽

Control System ◽

Automatic Control ◽

Automatic Control System ◽

Closed Loop ◽

Ventilation System ◽

Content Type ◽

Open Lung ◽

Open Lung Concept

Purpose – The purpose of this paper is to develop an automatic control system for mechanical ventilation therapy based on the open lung concept (OLC) using artificial intelligence. In addition, mean arterial blood pressure (MAP) is stabilized by means of a decoupling controller with automated noradrenaline (NA) dosage to ensure adequate systemic perfusion during ventilation therapy for patients with acute respiratory distress syndrome (ARDS). Design/methodology/approach – The aim is to develop an automatic control system for mechanical ventilation therapy based on the OLC using artificial intelligence. In addition, MAP is stabilized by means of a decoupling controller with automated NA dosage to ensure adequate systemic perfusion during ventilation therapy for patients with ARDS. Findings – This innovative closed-loop mechanical ventilation system leads to a significant improvement in oxygenation, regulates end-tidal carbon dioxide for appropriate gas exchange and stabilizes MAP to guarantee proper systemic perfusion during the ventilation therapy. Research limitations/implications – Currently, this automatic ventilation system based on the OLC can only be applied in animal trials; for clinical use, such a system generally requires a mechanical ventilator and sensors with medical approval for humans. Practical implications – For implementation of a closed-loop ventilation system, reliable signals from the sensors are a prerequisite for successful application. Originality/value – The experiment with porcine dynamics demonstrates the feasibility and usefulness of this automatic closed-loop ventilation therapy, with hemodynamic control for severe ARDS. Moreover, this pilot study validated a new algorithm for implementation of the OLC, whereby all control objectives are fulfilled during the ventilation therapy with adequate hemodynamic control of patients with ARDS.

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Efficient Application of Automation Technology in Thickener Process

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.1094.441 ◽

2015 ◽

Vol 1094 ◽

pp. 441-444

Author(s):

Dan Dan Xie ◽

Xiong Tong ◽

Xian Xie ◽

Kai Hou ◽

Ji Yong Li

Keyword(s):

Automatic Control ◽

Closed Loop ◽

Programmable Logic Controller ◽

Loop System ◽

Ecological Environment ◽

Programmable Logic ◽

Closed Loop System ◽

Positive Side ◽

Control Scheme ◽

Automation Technology

The text mainly introduced the thickener’s front technology and also talked about the process of using flocculent addition and the emissions of underflow density presenting a more optimal automatic control scheme on the basis of the original automatic project. Using automatic control components like PLC programmable logic controller and the control elements of the inverter make the thickener in a whole closed-loop system for the flocculant addition and the density of the ore and the process of discharge. It will bring a positive side for our economic, social and ecological environment.

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